activity
20072026
most citedSpitzer IRS Spectra and Envelope Models of Class I Protostars in Taurus

120 citations · 268 across the 14 of their papers we have counts for

collaborators

14 papers

astro-ph.EP2026

Atmospheric Diversity of Giant Planet Analogs from 3-5um with SPHEREx

Rocio Kiman, Brendan P. Bowler, Jerry W. Xuan +2

The emergent spectra of giant planets peak at thermal infrared wavelengths (3-5um) and possess atmospheric features in this regime that trace carbon chemistry, vertical mixing, clo…

astro-ph.CO2026

A Unified Halo Mass Function Across Dark Matter Models from High-Resolution Multi-Scale Simulations

Andrew J. Benson, Ethan O. Nadler, Xiaolong Du +1

We measure the dark matter halo mass function, with backsplash halos removed, from a wide range of cosmological-box and zoom-in simulations. These include the MultiDark Planck boxe…

physics.acc-ph2026

First results from the E302 efficiency$\unicode{x2013}$instability experiment at the FACET-II facility

O. G. Finnerud, E. Adli, R. Ariniello +18

The beam-breakup (BBU) instability in plasma accelerators is seeded by a transverse offset between the driver and a trailing bunch. The BBU instability induces oscillations in the…

astro-ph.GA2026

The Carousel Lens I: A Spectroscopic Survey of the Carousel Lens Field

Jackson H. O'Donnell, Demetrius Y. Williams, Tesla E. Jeltema +18

We present a spectroscopic survey of field galaxies and lensed sources in the vicinity of the strong lensing galaxy cluster known as the Carousel lens at z=0.49. Using both Gemini/…

astro-ph.IM2025★ 2 cited

Asgard/NOTT: L-band nulling interferometry at the VLTI -- III. The mid-infrared integrated optics beam combiner for NOTT

A. Sanny, L. Labadie, S. Gross +6

The NOTT visitor instrument at the VLTI will characterize hot exozodiacal dust and young Jupiter-like planets at the water snowline via L' band nulling interferometry. The beam com…

cs.RO2025

ReNiL: Event-Driven Pedestrian Bayesian Localization Using IMU for Real-World Applications

Kaixuan Wu, Yuanzhuo Xu, Zejun Zhang +4

Pedestrian inertial localization is key for mobile and IoT services because it provides infrastructure-free positioning. Yet most learning-based methods depend on fixed sliding-win…